424 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Rutherford Appleton LaboratoryGB68 papers
- University of DelhiIN66 papers
- Centre National de la Recherche ScientifiqueFR65 papers
- Forschungszentrum JülichDE64 papers
- Tata Institute of Fundamental ResearchIN64 papers
- University at Buffalo, State University of New YorkUS64 papers
- A. Alikhanyan National LaboratoryAM63 papers
- Adıyaman UniversityTR63 papers
- American University of the Middle EastKW63 papers
- Assiut UniversityEG63 papers
- Baylor UniversityUS63 papers
- Beihang UniversityCN63 papers
5 papers · 1 filter
Enhancing Distributed Authorization With Lagrange Interpolation And Attribute-Based Encryption
Keshav Sinha, Sumitra, Richa Kumari +2
In todays security landscape, every user wants to access large amounts of data with confidentiality and authorization. To maintain confidentiality, various researchers have propose…
Four Factor Authentication with emerging cybersecurity for Mobile Transactions
Sanyam Jain, Raju gautam, Shivani Sharma +1
Cybersecurity is very essential for Mobile Transactions to complete seamlessly. Mobile Commerce (Mcom.) is the very basic transaction type, which is very commonly used (2 in 5 peop…
Securing the Future Internet of Things with Post-Quantum Cryptography
Adarsh Kumar, Carlo Ottaviani, Sukhpal Singh Gill +1
Traditional and lightweight cryptography primitives and protocols are insecure against quantum attacks. Thus, a real-time application using traditional or lightweight cryptography…
Security in Next Generation Mobile Payment Systems: A Comprehensive Survey
Waqas Ahmed, Amir Rasool, Neeraj Kumar +4
Cash payment is still king in several markets, accounting for more than 90\ of the payments in almost all the developing countries. The usage of mobile phones is pretty ordinary in…
Blockchain based Attack Detection on Machine Learning Algorithms for IoT based E-Health Applications
Thippa Reddy Gadekallu, Manoj M K, Sivarama Krishnan S +3
The application of machine learning (ML) algorithms are massively scaling-up due to rapid digitization and emergence of new tecnologies like Internet of Things (IoT). In today's di…